Transfer Large Files Using a LicenseSearch APIs
For several years, my team and I are trying to provide effective “communication” among different computers. We have various ways of providing it. However, this week, we faced the issue of transferring a very large file over HTTP. This is when we have started to rely on a special tool named LicenseSearch API.
What is a LicenseSearch API and how is it used?
Many computers have a unique talking manner that is called API (Application Programming Interface). The latter is an easy method for agencies to trust while sharing files between people. No matter whether the file is large or small, a LicenseSearch API has proven to be a very effective way to get things done.
Big companies started to shift the management of their data to third parties. However, when they needed to repossess it, they face the problem of the hard use of software management tools. So, our company, through APIs, has begun to support people to easily obtain the needed data.
Moreover, the use of APIs has helped our customers expand the reach of their business and increased customer interaction. In other words, one of the effective uses of the APIs is through business data management package.
NOTE: APIs allow computers to faultlessly share exact data, but they are regulated by a specific set of regulations for data retrieval.
Transferring “via” LicenseSearch API
To solve our problem of transferring a large file over HTTP, we have done the following tests:
- First of all, we have sent a small file to check for some abnormal requests.
- Secondly, we have sent a massive file to prove the toughness of our application.
We have not revealed anything important about test one, as there is a header value missing, an issue of wrong URL format raised, etc.
As for test two, after waiting for several minutes, a Java developer “nightmare” appeared. The main issue is not that we have run the agency codes in a development environment, but because the app wanted to load the whole folder content in RAM.
After analyzing the app’s memory footprint, we concluded that we cannot assume a maximum size for incoming files, moreover, we cannot work chronologically on files.
We do need improvement.
The Improved Solution
To offer an improved solution we acknowledged the necessity of training our code in order not to load the whole file in memory, but to practice the HTTP1 feature.
After working hard on agency codes, some notices appeared, showing that the incoming request is made in more than one HTTP message, and there is a certain need to get all of them to launch the processing.
The benefit of our client, which is a big Database company, is that they load in memory only the slice they are transferring at that moment.
After day and night work we have improved our class by configuring properly a LicenseSearch API template. Then we repeated test 2 and here is what we got. For the full transfer of a 2GB folder, we have used only 350 MB of memory.
It is a SUCCESS.
Conclusion
To sum up, in our article, I have tried to describe our solution for transferring a large-sized file. Maybe you may offer other solutions too by reaching them through the use of different libraries.
However, our client and we have found the use of a LicenseSearch API mutually beneficial. When transferring large documents through the APIs, you are utilizing a link to the large file and passing it in tens of milliseconds. In addition, it effectively reduces CPU usage, which brings reduced costs or more available capacity.
